{"id":"https://openalex.org/W2778917380","doi":"https://doi.org/10.1109/tbc.2017.2781127","title":"Efficient Inter-View Motion Vector Prediction in Multi-View HEVC","display_name":"Efficient Inter-View Motion Vector Prediction in Multi-View HEVC","publication_year":2017,"publication_date":"2017-12-21","ids":{"openalex":"https://openalex.org/W2778917380","doi":"https://doi.org/10.1109/tbc.2017.2781127","mag":"2778917380"},"language":"en","primary_location":{"id":"doi:10.1109/tbc.2017.2781127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2017.2781127","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Broadcasting","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010530826","display_name":"Jae-Yung Lee","orcid":"https://orcid.org/0000-0001-5049-2574"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Yung Lee","raw_affiliation_strings":["Department of Electrical Engineering, Sejong University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0001-5049-2574","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037536921","display_name":"Jong-Ki Han","orcid":"https://orcid.org/0000-0002-5036-7199"},"institutions":[{"id":"https://openalex.org/I28777354","display_name":"Sejong University","ror":"https://ror.org/00aft1q37","country_code":"KR","type":"education","lineage":["https://openalex.org/I28777354"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Ki Han","raw_affiliation_strings":["Department of Electrical Engineering, Sejong University, Seoul, South Korea"],"raw_orcid":"https://orcid.org/0000-0002-5036-7199","affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Sejong University, Seoul, South Korea","institution_ids":["https://openalex.org/I28777354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100638066","display_name":"Jae\u2010Gon Kim","orcid":"https://orcid.org/0000-0003-3686-4786"},"institutions":[{"id":"https://openalex.org/I24456540","display_name":"Korea Aerospace University","ror":"https://ror.org/05jmm0651","country_code":"KR","type":"education","lineage":["https://openalex.org/I24456540"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jae-Gon Kim","raw_affiliation_strings":["School of Electronics and Information Engineering, Korea Aerospace University, Goyang, South Korea"],"raw_orcid":"https://orcid.org/0000-0003-3686-4786","affiliations":[{"raw_affiliation_string":"School of Electronics and Information Engineering, Korea Aerospace University, Goyang, South Korea","institution_ids":["https://openalex.org/I24456540"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102719190","display_name":"Truong Q. Nguyen","orcid":"https://orcid.org/0000-0002-5022-063X"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Truong Q. Nguyen","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of California at San Diego, San Diego, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of California at San Diego, San Diego, CA, USA","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7307,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.72642509,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"64","issue":"3","first_page":"666","last_page":"680"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10741","display_name":"Video Coding and Compression Technologies","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11165","display_name":"Image and Video Quality Assessment","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6487534642219543},{"id":"https://openalex.org/keywords/motion-vector","display_name":"Motion vector","score":0.5794791579246521},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.4462401866912842},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41075605154037476},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39511755108833313},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3462379574775696}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6487534642219543},{"id":"https://openalex.org/C2779020251","wikidata":"https://www.wikidata.org/wiki/Q3555171","display_name":"Motion vector","level":3,"score":0.5794791579246521},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.4462401866912842},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41075605154037476},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39511755108833313},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3462379574775696},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tbc.2017.2781127","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbc.2017.2781127","pdf_url":null,"source":{"id":"https://openalex.org/S100142436","display_name":"IEEE Transactions on Broadcasting","issn_l":"0018-9316","issn":["0018-9316","1557-9611"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Broadcasting","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G5453489503","display_name":null,"funder_award_id":"NRF-2015R1A2A2A01006193","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G86315799","display_name":null,"funder_award_id":"2017-0-00486","funder_id":"https://openalex.org/F4320322030","funder_display_name":"Ministry of Science, ICT and Future Planning"}],"funders":[{"id":"https://openalex.org/F4320322030","display_name":"Ministry of Science, ICT and Future Planning","ror":"https://ror.org/032e49973"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2019708948","https://openalex.org/W2033819227","https://openalex.org/W2036056096","https://openalex.org/W2044470449","https://openalex.org/W2046744990","https://openalex.org/W2090504013","https://openalex.org/W2101700394","https://openalex.org/W2102481828","https://openalex.org/W2146395539","https://openalex.org/W2181770152","https://openalex.org/W2209124607","https://openalex.org/W2248155580","https://openalex.org/W2249309460","https://openalex.org/W2295121527"],"related_works":["https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W2772917594","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2079911747","https://openalex.org/W2170022336"],"abstract_inverted_index":{"When":[0],"multi-view":[1,55],"video":[2,58],"sequences":[3],"are":[4,108],"encoded,":[5],"the":[6,15,21,32,36,47,50,54,66,80,119],"efficient":[7,105,134],"motion":[8,74,101],"vector":[9,75],"prediction":[10,76],"(MVP)":[11],"is":[12,87],"one":[13],"of":[14,35,49],"most":[16],"important":[17],"techniques":[18],"to":[19,39,64],"increase":[20],"coding":[22,107,128],"performance.":[23],"The":[24,114],"predictive":[25],"MV":[26,34,106],"should":[27],"be":[28,40],"highly":[29],"correlated":[30],"with":[31,125],"actual":[33],"current":[37],"block":[38],"encoded.":[41],"In":[42,62],"this":[43],"paper,":[44],"we":[45,69],"explain":[46],"inefficiency":[48,67],"MVP":[51],"algorithm":[52,77],"in":[53,78],"high":[56],"efficiency":[57],"codec":[59],"(MV-HEVC)":[60],"standard.":[61],"order":[63],"solve":[65],"problem,":[68],"propose":[70],"an":[71],"enhanced":[72],"advanced":[73],"which":[79],"geometry":[81,112],"interrelation":[82],"between":[83],"two":[84],"neighboring":[85],"views":[86],"derived":[88],"based":[89],"on":[90],"epipolar":[91],"geometry,":[92],"similarity":[93],"transform,":[94,97],"and":[95,98],"affine":[96],"then":[99],"predicted":[100],"vectors":[102],"(PMVs)":[103],"for":[104],"generated":[109],"using":[110],"obtained":[111],"relation.":[113],"experiment":[115],"results":[116],"show":[117],"that":[118],"proposed":[120],"scheme":[121],"outperforms":[122],"conventional":[123,137],"MV-HEVC":[124],"a":[126],"1.32%-1.19%":[127],"gain":[129],"because":[130],"it":[131],"provides":[132],"more":[133],"PMVs":[135],"than":[136],"algorithms.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
